About

Kaushik Acharya is an experienced Data Scientist with a proven track record of 18.79 years in the field. Currently working at Philips Health Systems, Kaushik is a member of the Advanced Concept Development (Innovation) team where he is responsible for developing Natural Language Processing (NLP)/Understanding (NLU)/Information Retrieval (IR) solutions over clinical notes. His work includes creating a Semantic Search Engine, Named Entity Recognition, and Entity Relationship models. Prior to joining Philips, Kaushik worked as a Senior Data Scientist at Snapwiz where he focused on Adaptive Learning for personalized education. He also worked as a Data Scientist at Myparichay where he developed data mining algorithms to extract information from millions of crawled web-pages. Kaushik's expertise lies in Handwriting Recognition, Adaptive Learning, NLP/NLU, and Information Retrieval. He has a strong TechStack that includes Data Scientist, Research Scientist, NLU, NLP, Information Retrieval, Search, and Web. Kaushik has completed his education from various online platforms such as Coursera and Edx, where he has gained extensive knowledge in the field of Data Science. Kaushik is a highly motivated and dedicated individual who is always looking for new challenges and opportunities to learn and grow. With his vast experience and expertise, he is a valuable asset to any organization and can contribute significantly to their success.